Matthew D. Crawford

1.9k citations
18 papers · 1.5k indexed · 1 hit paper · h-index 12
Topics
Knee injuries and reconstruction techniques (7 papers)Total Knee Arthroplasty Outcomes (5 papers)Sports injuries and prevention (5 papers)

In The Last Decade

Matthew D. Crawford

17 papers receiving 1.4k citations

Hit Papers

The Metabolic Basis of Inherited Disease19832026199720111983250500750

Peers

Matthew D. Crawford
Comparison fields: 5 of 125
  • Molecular Biology 543
  • Surgery 372
  • Physiology 154
  • Clinical Biochemistry 145
  • Cancer Research 139
Replace Michelle M. Averill with:
Michelle M. Averill United States
H.J.M. van Rijn Netherlands
Rachel Fleming United States
Cindy Kok Australia
Antigoni Miliou Greece
Elizabeth L. Barry United States
Jesus H. Dominguez United States
Henning Witt Germany
Stéphane Jaisson France
A. W. Skillen United Kingdom
Matthew D. Crawford relative to Michelle M. Averill United States Michelle M. Averill's profile →
Citations per field
00.5×2.6×
Michelle M. Averill · 1×
Citations per year

Countries citing papers authored by Matthew D. Crawford

Since Specialization
Citations

This map shows the geographic impact of Matthew D. Crawford's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew D. Crawford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Crawford more than expected).

Fields of papers citing papers by Matthew D. Crawford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Crawford. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew D. Crawford. The network helps show where Matthew D. Crawford may publish in the future.

Co-authorship network of co-authors of Matthew D. Crawford

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Crawford. A scholar is included among the top collaborators of Matthew D. Crawford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew D. Crawford. Matthew D. Crawford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 12
2 50
3 35
4 8
5 36
6 35
7 20
8 4
9 22
10 6
11 11
12 18
13 2
14 258
15 0
16
The Metabolic Basis of Inherited Diseasebreakdown →
764
17 32
18 154

About Matthew D. Crawford

Matthew D. Crawford is a scholar working on Orthopedics and Sports Medicine, Clinical Biochemistry and Surgery, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (7 papers), Total Knee Arthroplasty Outcomes (5 papers) and Sports injuries and prevention (5 papers). The work is most often cited by research in Clinical Biochemistry (145 citations), Orthopedics and Sports Medicine (117 citations) and Cancer Research (139 citations). Matthew D. Crawford has collaborated with scholars based in United States, Norway and Cyprus. Frequent co-authors include Michael J. Kelley, William T. Barry, Quanli Wang, Bernard Mathey-Prévôt, Anil Potti, Michael Datto, Michael L. Gatza, Joseph E. Lucas, Jong Wook Kim and Joseph R. Nevins. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Bone and Joint Surgery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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